Visualization Capability Analysis and Digital Implementation for Railroad Networks

The transportation capacity analysis of railroad network intervals and hubs relies on CTC, TDCS, WTDS and other systems through sources, and the data indicators are more scattered and inconsistent in caliber, which often consume a lot of manpower and material resources to carry out the collection of data indicators, and have not yet established intuitive and convenient visualization and digital monitoring means. In view of this technical difficulty, this paper firstly puts forward the fusion method of railroad multi-source data indicators based on GIS data, adopts the geometric feature fusion and semantic attribute fusion technical means to correlate and match the railroad multi-source business system with GIS spatial data, and realizes the information of joint-venture company, freight transmission volume, the number of pairs of train departures, the data of passenger tickets, the data of freight tickets, the volume of passenger transmission volume, lists the timetable, and lists the grouping, WTDS and other data indicators and GIS spatial data dictionary matching. At the same time, based on the calculation method of railroad zone passing capacity issued by China Railway, an algorithm model is established for the utilization rate of the passing capacity of general-speed railroads and high-speed railroads, and the established algorithm model is able to intuitively display the utilization rate of the capacity of each section and hub of the railroad network, so as to realize the visualization-oriented capacity decision-making analysis. In addition, the mileage information is established for the GIS spatial data of the railroad network, and the dynamic segmentation technology of GIS is adopted to associate the mileage and elevation information of each railroad network, which can realize the dynamic positioning of any position of the GIS lines. Finally, GeoServer, NoSQL database, OpenLayers, Leaflets and other technologies are used to establish a visual analysis system of railroad network capacity utilization, which realizes the dynamic monitoring and analysis of the capacity utilization of the railroad network, and is of great significance to improve the digital, informatization and intelligence level of China's railroad.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/dsins64146.2024.10991984
Citations
1
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visualization Capability Analysis and Digital Implementation for Railroad Networks

Ziyu Ma, Xiaolei Xu, Wenbin Liu, Chengyi Zhang
1 citations
Railway Systems and Energy Efficiency
0.35
article

Visualization Capability Analysis and Digital Implementation for Railroad Networks

Ziyu Ma, Xiaolei Xu, Wenbin Liu, Chengyi Zhang
article en
1 citations

Abstract

The transportation capacity analysis of railroad network intervals and hubs relies on CTC, TDCS, WTDS and other systems through sources, and the data indicators are more scattered and inconsistent in caliber, which often consume a lot of manpower and material resources to carry out the collection of data indicators, and have not yet established intuitive and convenient visualization and digital monitoring means. In view of this technical difficulty, this paper firstly puts forward the fusion method of railroad multi-source data indicators based on GIS data, adopts the geometric feature fusion and semantic attribute fusion technical means to correlate and match the railroad multi-source business system with GIS spatial data, and realizes the information of joint-venture company, freight transmission volume, the number of pairs of train departures, the data of passenger tickets, the data of freight tickets, the volume of passenger transmission volume, lists the timetable, and lists the grouping, WTDS and other data indicators and GIS spatial data dictionary matching. At the same time, based on the calculation method of railroad zone passing capacity issued by China Railway, an algorithm model is established for the utilization rate of the passing capacity of general-speed railroads and high-speed railroads, and the established algorithm model is able to intuitively display the utilization rate of the capacity of each section and hub of the railroad network, so as to realize the visualization-oriented capacity decision-making analysis. In addition, the mileage information is established for the GIS spatial data of the railroad network, and the dynamic segmentation technology of GIS is adopted to associate the mileage and elevation information of each railroad network, which can realize the dynamic positioning of any position of the GIS lines. Finally, GeoServer, NoSQL database, OpenLayers, Leaflets and other technologies are used to establish a visual analysis system of railroad network capacity utilization, which realizes the dynamic monitoring and analysis of the capacity utilization of the railroad network, and is of great significance to improve the digital, informatization and intelligence level of China's railroad.

China Academy of Railway Sciences (CN)
Openalex Percentile: Top 30%
Railway Systems and Energy Efficiency
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.